Dynamic event type recognition and tagging for data-driven insights in law-enforcement-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Dynamic event type recognition and tagging for data-driven insights in law-enforcement

Published:2020-01-31 Issue:7 Volume:102 Page:1627-1651
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Zamanirad Shayan,Benatallah Boualem,Barukh Moshe Chai,Rodriguez Carlos^ORCID,Nouri Reza

Funder

Data to Decisions Cooperative Research Centres

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-020-00791-z.pdf

Reference47 articles.

1. Al Mutawa N, Baggili I, Marrington A (2012) Forensic analysis of social networking applications on mobile devices. Digit Invest 9:S24–S33

2. Altman DG (1990) Practical statistics for medical research. CRC Press, Boca Raton

3. Angeli G, Premkumar MJJ, Manning CD (2015) Leveraging linguistic structure for open domain information extraction. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing (vol 1: Long Papers), vol 1, pp 344–354

4. Baber C, Smith P, Cross J, Hunter JE, McMaster R (2006) Crime scene investigation as distributed cognition. Pragmat Cognit 14(2):357–385

5. Basher ARM, Fung BC (2014) Analyzing topics and authors in chat logs for crime investigation. Knowl Inf Syst 39(2):351–381

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploratory study of a system to reduce information overload and tunnel vision in homicide investigations;JUCS - Journal of Universal Computer Science;2022-08-28

2. Learning Word Representation for the Cyber Security Vulnerability Domain;2020 International Joint Conference on Neural Networks (IJCNN);2020-07

3. Automatic Action Extraction for Short Text Conversation Using Unsupervised Learning;Web Information Systems Engineering – WISE 2020;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3